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  #Project Title: Talking car
 
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  A speaking assistant designed for in-car use, leveraging the LLaMA 2 model to facilitate vocal interactions between the car and its users. This notebook provides the foundation for a speech-enabled interface that can understand spoken questions and respond verbally, enhancing the driving experience with intelligent assistance.
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  ##Description
 
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  This project integrates speech-to-text and text-to-speech functionalities into a car's infotainment system, using the LLaMA 2 model to process and respond to vocal queries from users. It employs Gradio for user interface creation, NexusRaven for function calling, and integrates various APIs to fetch real-time information, making it a comprehensive solution for creating a responsive and interactive car assistant.
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  ##Features
 
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  • Speech-to-Text and Text-to-Speech: Enables the car assistant to listen to spoken questions and respond audibly, providing a hands-free experience for drivers and passengers.
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  • Intelligent Function Calling with NexusRaven: Implements a sophisticated system for executing commands and retrieving information based on user queries, using the LLaMA 2 model's capabilities.
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  • Dynamic Model Integration: Incorporates multiple models for language recognition, speech processing, and text generation.
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  • Real-Time Information Retrieval: Capable of integrating with various APIs to provide up-to-date information on weather, routes, points of interest, and more.
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  ##Requirements
 
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  • Gradio for creating interactive interfaces
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  • Hugging Face Transformers and additional ML models for speech and language processing
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  • NexusRaven for complex function execution
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  All required libraries and packages are directly loaded inside the notebook.
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  ##Installation
 
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  To set up the speaking assistant in your car's system, follow these steps:
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  1. Run all the cells until the “Interfaces (text and audio)” section.
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  2. Choose between the interfaces which one to run: audio-to-audio or text-to-text.
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  4. Activation: Execute one of the interface to start the speaking assistant, enabling vocal interactions within the car.
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  ## Authors and acknowledgment
 
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  Sasan Jafarnejad
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  Abigail Berthe--Pardo
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  #Project Title: Talking car
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+
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  A speaking assistant designed for in-car use, leveraging the LLaMA 2 model to facilitate vocal interactions between the car and its users. This notebook provides the foundation for a speech-enabled interface that can understand spoken questions and respond verbally, enhancing the driving experience with intelligent assistance.
4
 
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  ##Description
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+
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  This project integrates speech-to-text and text-to-speech functionalities into a car's infotainment system, using the LLaMA 2 model to process and respond to vocal queries from users. It employs Gradio for user interface creation, NexusRaven for function calling, and integrates various APIs to fetch real-time information, making it a comprehensive solution for creating a responsive and interactive car assistant.
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  ##Features
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  • Speech-to-Text and Text-to-Speech: Enables the car assistant to listen to spoken questions and respond audibly, providing a hands-free experience for drivers and passengers.
12
  • Intelligent Function Calling with NexusRaven: Implements a sophisticated system for executing commands and retrieving information based on user queries, using the LLaMA 2 model's capabilities.
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  • Dynamic Model Integration: Incorporates multiple models for language recognition, speech processing, and text generation.
 
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  • Real-Time Information Retrieval: Capable of integrating with various APIs to provide up-to-date information on weather, routes, points of interest, and more.
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  ##Requirements
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  • Gradio for creating interactive interfaces
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  • Hugging Face Transformers and additional ML models for speech and language processing
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  • NexusRaven for complex function execution
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  All required libraries and packages are directly loaded inside the notebook.
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  ##Installation
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  To set up the speaking assistant in your car's system, follow these steps:
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  1. Run all the cells until the “Interfaces (text and audio)” section.
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  2. Choose between the interfaces which one to run: audio-to-audio or text-to-text.
 
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  4. Activation: Execute one of the interface to start the speaking assistant, enabling vocal interactions within the car.
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  ## Authors and acknowledgment
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  Sasan Jafarnejad
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  Abigail Berthe--Pardo
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